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DBMS > GridDB vs. Hive vs. IBM Cloudant vs. MonetDB

System Properties Comparison GridDB vs. Hive vs. IBM Cloudant vs. MonetDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big Datadata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDBA relational database management system that stores data in columns
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Websitegriddb.nethive.apache.orgwww.ibm.com/­products/­cloudantwww.monetdb.org
Technical documentationdocs.griddb.netcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantwww.monetdb.org/­Documentation
DeveloperToshiba CorporationApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MonetDB BV
Initial release2013201220102004
Current release5.1, August 20223.1.3, April 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangC
Server operating systemsLinuxAll OS with a Java VMhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptyes, in SQL, C, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBHiveIBM CloudantMonetDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBHiveIBM CloudantMonetDB
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